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M-estimation theory has a long history (see the [M-estimation bibliography](https://bsaul.github.io/geex/articles/articles/mestimation_bib.html)). For an excellent introduction, see the primer by L.A. Stefanski and D.D. Boos,  \"The Calculus of M-estimation\" ([The American Statistician (2002), 56(1), 29-38)](http://www.jstor.org/stable/3087324?seq=1#page_scan_tab_contents); [also available here](http://www4.stat.ncsu.edu/~boos/papers/mest6.pdf)).\n\nM-estimation encompasses a broad swath of statistical estimators and ideas including:\n\n* the empirical \"sandwich\" variance estimator\n* generalized estimating equations (GEE)\n* many maximum likelihood estimators\n* robust regression\n* and many more\n\n`geex` can implement all of these using a user-defined estimating function.\n\n## Goals\n\n\u003e If you can specify a set of unbiased estimating equations, `geex` does the rest.\n\nThe goals of `geex` are simply:\n\n* To minimize the translational distance between a set of estimating functions and R code;\n* To return numerically *accurate* point and covariance estimates from a set of unbiased estimating functions.\n\n`geex` does not necessarily aim to be fast nor precise. Such goals are left to the user to implement or confirm.\n\n# Installation\n\nTo install the current version:\n\n```r\ndevtools::install_github(\"bsaul/geex\")\n```\n\n# Usage\n\nStart with the examples in the [package introduction](https://bsaul.github.io/geex/articles/v00_geex_intro.html) (also accessible in R by `vignette('00_geex_intro')`).\n\n# Contributing to geex\n\nPlease review the [contributing guidelines](https://github.com/bsaul/geex/blob/master/CONTRIBUTING.md). If you have bug reports, feature requests, or other ideas for `geex`, please file an issue or contact [@bsaul](https://github.com/bsaul).\n\n# Citation\n\nIf you use `geex` in a project,\nplease cite the \n[Journal of Statistical Software paper](https://www.jstatsoft.org/article/view/v092i02).\n\nBibTex entry:\n\n```bib\n  @Article{,\n    title = {The Calculus of M-Estimation in {R} with {geex}},\n    author = {Bradley C. Saul and Michael G. Hudgens},\n    journal = {Journal of Statistical Software},\n    year = {2020},\n    volume = {92},\n    number = {2},\n    pages = {1--15},\n    doi = {10.18637/jss.v092.i02},\n  }\n```\n\n# Get Help\n\nNeed help using `geex` or writing your estimating function?\nFeel free to contact [@bsaul](https://github.com/bsaul).\nYou can find examples of help [in the `geex-help` repository](https://gitlab.com/bsaul/geex-help).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbsaul%2Fgeex","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbsaul%2Fgeex","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbsaul%2Fgeex/lists"}